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Author:   Carlo Laing (Institute of Information and Mathematical Sciences, Massey University, New Zealand) ,  Gabriel J Lord (Heriot-Watt University, Edinburgh)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 16.10cm , Height: 2.70cm , Length: 24.00cm
Weight:   0.726kg
ISBN:  

9780199235070

ISBN 10:   0199235074
Pages:   396
Publication Date:   24 September 2009
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

"PrefaceCarlo Laing and Gabriel J Lord: Nomenclature 1: Benjamin Lindner: A brief introduction to some basic stochastic processes 2: Jeffrey R Groff, Hilary DeRemigio, and Gregory D Smith: Markov chain models of ion channels and calcium release sites 3: Nils Berglund and Barbara Gentz: Stochastic dynamic bifurcations and excitability 4: André Longtin: Neural coherence and stochastic resonance 5: Bard Ermentrout: Noisy oscillators 6: Brent Doiron: The role of variablity in populations of spiking neuons 7: Daniel Tranchina: Population density methods in large-scale neural network modelling 8: Marco A Huertas and Gregory D Smith: A population density model of the driven LGN/PGN 9: Alin Destexhe and Michelle Rudolph-Lilith: Syanptic ""noise"": experiments, computatioal consequences and methods to analyze experimental data 10: Liam Paninski, Emery N Brown, Satish Iyengar, and Robert E Kass: Statistical models of spike trains 11: A Aldo Faisal: Stochastic simulations of neurons, axons, and action potentials 12: Hasan Alzubaidi, Hagen Gilsing, Tony Shardlow: Numerical simulations of SDEs and SPDEs from neural systems using SDELAB"

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Author Information

Carlo Laing obtained his PhD in applied mathematics from the University of Cambridge. After post-doctoral positions in the UK, USA and Canada, he joined Massey University in Auckland, New Zealand, where he is currently a senior lecturer. His interests include nonlinear dynamical systems, particularly as applied in computational neuroscience. Gabriel Lord obtained his PhD from the University of Bath, UK. After a post-doctoral position at the University of Bristol and working for a time in industry he joined Heriot-Watt University in Edinburgh, UK. His research interests are in applied computational analysis, stochastic numerics and applications from computational neuroscience.

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